IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

SEPTEMBER 27, 2023

Cost-Efficiency By leveraging cost-effective storage solutions like the Hadoop Distributed File System (HDFS) or cloud-based storage, data lakes can handle large-scale data without incurring prohibitive costs. This is particularly advantageous when dealing with exponentially growing data volumes.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

Smart Data Collective

JUNE 3, 2019

The ability to connect data silos throughout the organization has been a Business Intelligence challenge for years, especially in banks where mergers and acquisitions have generated numerous and costly data silos. This integration is even more important, but much more complex with Big Data.

Big Data 85

Big Data Big Data Data Silos AI 85

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Distributed File Systems: Technologies such as Hadoop Distributed File System (HDFS) distribute data across multiple machines to ensure fault tolerance and scalability.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

APRIL 18, 2023

Data Science encompasses several other technologies like Artificial Intelligence, Machine Learning and more. Data Science also incorporates several other principles like mathematics, statistics, computer engineering, Artificial Intelligence, and others. Hence, having these skill sets will help you excel professionally.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

OCTOBER 10, 2024

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

IBM Journey to AI blog

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

SEPTEMBER 11, 2024

This layer includes tools and frameworks for data processing, such as Apache Hadoop, Apache Spark, and data integration tools. Analytics and Business Intelligence Tools BDaaS solutions often include analytics tools that enable users to visualize and analyze data.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

OCTOBER 14, 2024

Specialised Master’s Programs Specialised Master’s programs focus on niche areas within Data Science, such as Artificial Intelligence , Big Data , or Machine Learning. Big Data Technologies: Exposure to tools like Hadoop and Spark equips students with skills to handle vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

DagsHub

NOVEMBER 11, 2024

This is where artificial intelligence steps in as a powerful ally. In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition.

AI 52

AI AI Data Lakes Database 52

Data Science Blog

MARCH 14, 2023

Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147